The AI Weekly Breakthrough | Issue 6 | April 17, 2024 Welcome to The AI Weekly Breakthrough, a roundup of the news, technologies, and companies changing the way we work and live Meta Breaks Silence, Announces Llama 3 Meta, relatively quiet as of late, breaks its silence this week to make two...
Reinforcement Learning from Human Feedback (RLHF) is a cutting-edge approach in artificial intelligence (AI) that blends human intelligence with machine learning to teach computers how to perform complex tasks. This method is particularly exciting because it represents a shift from traditional...
AI for predictive analytics represents a cutting-edge approach to forecasting future trends and making data-driven decisions with precision. By integrating AI, you can uncover deep insights, identify emerging opportunities, and mitigate potential risks in real-time. In this article, you’ll...
Extract, Transform, and Load, or ETL, is a crucial data management process, especially in the AI and machine learning space. It’s like a data-moving team that takes information from various sources, cleans it up, and organizes it neatly in one place. This process is vital for businesses and...
The AI Weekly Breakthrough | Issue 5 | April 9, 2024 Welcome to The AI Weekly Breakthrough, a roundup of the news, technologies, and companies changing the way we work and live. More Agents Is All You Need A study using a simple sampling-and-voting method showed that LLM performance scales with...
Data augmentation is a pivotal technique in the realm of Natural Language Processing (NLP). It’s used to expand and diversify training datasets, thereby enhancing the performance and robustness of AI models. This technique is crucial for AI practitioners, data scientists, and technologists who aim...
Foundation models are a cornerstone in how we approach, develop, and implement AI technologies. These models, with their ability to learn from vast datasets and adapt to a multitude of tasks, represent a significant leap in AI’s evolution. Whether you’re an IT professional looking to deepen...
Navigating the multifaceted nature of human language is a unique challenge for machines. Ambiguous words, phrases, sentences, and contexts make language models struggle to understand and interpret human language with nuance and precision. Addressing ambiguity, therefore, is crucial for modern...
Augmented Shelf | Issue 4 | April 3, 2024 Welcome to Augmented Shelf, a wrap-up of the week’s AI news, trends and research that are forging the future of work. Street Fighting LLMs Ready for a digital brawl like no other? In a groundbreaking experiment, cutting-edge Language Models (LLMs)...
Recurrent Neural Networks (RNNs) are a class of artificial neural networks uniquely designed to handle sequential data. At its core, an RNN is like having a memory that captures information from what it has previously seen. This makes it exceptionally suited for tasks where the order and context...
At the core of human cognition is the concept of “attention,” a mechanism that allows us to focus on particular elements of our environment while filtering out others. This concept has inspired a transformative feature in deep learning models: the attention mechanism. By emulating the way humans...
A knowledge graph is a structure that connects diverse pieces of information, helping you uncover relationships and insights that might not be immediately apparent. In some cases, you need to bridge two types of data together: structured and unstructured data. In this article, we provide a clear,...